Validating wind field models for power system impact studies

Charles Edward Plumley; David Hill; David McMillan; Keith Bell; David Infield

doi:10.1049/cp.2012.1766

Validating wind field models for power system impact studies

Charles Edward Plumley, David Hill, David McMillan, Keith Bell, David Infield

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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Abstract

To integrate wind power into the electrical power system studies need to be made of its impact. Wind plants are stochastic in nature and this makes them differ from traditional plants. One method to model the stochastic nature of wind plants is to create a wind field model and simulate wind data that can then be used to determine power outputs. There are a large number of models available, however often these models are not adequately validated. This paper proposes a number of criteria that all wind field models should be validated against and the methods that can be used to do this.

Original language	English
Title of host publication	International Conference on Sustainable Power Generation and Supply (SUPERGEN 2012)
Place of Publication	Piscataway, New Jersey
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Print)	9781849196734
DOIs	https://doi.org/10.1049/cp.2012.1766
Publication status	Published - Sept 2012
Event	IET International Conference on Sustainable Power Generation and Supply - Hangzhou, China Duration: 8 Sept 2012 → 9 Sept 2012 http://www.ukchinanet.com/UK-China%20Network_conference%20website%20HZ.html

Conference

Conference	IET International Conference on Sustainable Power Generation and Supply
Abbreviated title	SUPERGEN 2012
Country/Territory	China
City	Hangzhou
Period	8/09/12 → 9/09/12
Internet address	http://www.ukchinanet.com/UK-China%20Network_conference%20website%20HZ.html

Keywords

power system impact
wind resource
wind field models
wind field model validation

Access to Document

10.1049/cp.2012.1766

Plumley-etal2012-validating-wind-field-modelsAccepted author manuscript, 241 KB

Cite this

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title = "Validating wind field models for power system impact studies",

abstract = "To integrate wind power into the electrical power system studies need to be made of its impact. Wind plants are stochastic in nature and this makes them differ from traditional plants. One method to model the stochastic nature of wind plants is to create a wind field model and simulate wind data that can then be used to determine power outputs. There are a large number of models available, however often these models are not adequately validated. This paper proposes a number of criteria that all wind field models should be validated against and the methods that can be used to do this.",

keywords = "power system impact , wind resource, wind field models, wind field model validation",

author = "Plumley, {Charles Edward} and David Hill and David McMillan and Keith Bell and David Infield",

note = "(c) 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.; IET International Conference on Sustainable Power Generation and Supply , SUPERGEN 2012 ; Conference date: 08-09-2012 Through 09-09-2012",

year = "2012",

month = sep,

doi = "10.1049/cp.2012.1766",

language = "English",

isbn = "9781849196734",

pages = "1--6",

booktitle = "International Conference on Sustainable Power Generation and Supply (SUPERGEN 2012)",

publisher = "IEEE",

url = "http://www.ukchinanet.com/UK-China%20Network_conference%20website%20HZ.html",

}

Plumley, CE, Hill, D, McMillan, D , Bell, K & Infield, D 2012, Validating wind field models for power system impact studies. in International Conference on Sustainable Power Generation and Supply (SUPERGEN 2012). IEEE, Piscataway, New Jersey, pp. 1-6, IET International Conference on Sustainable Power Generation and Supply , Hangzhou, China, 8/09/12. https://doi.org/10.1049/cp.2012.1766

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AU - Plumley, Charles Edward

AU - Hill, David

AU - McMillan, David

AU - Bell, Keith

AU - Infield, David

N1 - (c) 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

PY - 2012/9

Y1 - 2012/9

N2 - To integrate wind power into the electrical power system studies need to be made of its impact. Wind plants are stochastic in nature and this makes them differ from traditional plants. One method to model the stochastic nature of wind plants is to create a wind field model and simulate wind data that can then be used to determine power outputs. There are a large number of models available, however often these models are not adequately validated. This paper proposes a number of criteria that all wind field models should be validated against and the methods that can be used to do this.

AB - To integrate wind power into the electrical power system studies need to be made of its impact. Wind plants are stochastic in nature and this makes them differ from traditional plants. One method to model the stochastic nature of wind plants is to create a wind field model and simulate wind data that can then be used to determine power outputs. There are a large number of models available, however often these models are not adequately validated. This paper proposes a number of criteria that all wind field models should be validated against and the methods that can be used to do this.

KW - power system impact

KW - wind resource

KW - wind field models

KW - wind field model validation

UR - http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6485040

U2 - 10.1049/cp.2012.1766

DO - 10.1049/cp.2012.1766

M3 - Conference contribution book

SN - 9781849196734

SP - 1

EP - 6

BT - International Conference on Sustainable Power Generation and Supply (SUPERGEN 2012)

PB - IEEE

CY - Piscataway, New Jersey

T2 - IET International Conference on Sustainable Power Generation and Supply

Y2 - 8 September 2012 through 9 September 2012

ER -

Validating wind field models for power system impact studies

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